Preprint
Aug 2026
MoEGen: Mixture-of-Experts for Instance-Adaptive LoRA Generation
This work proposes MoEGen, an adaptation framework that shifts MoE-based PEFT from expert selection to expert-conditioned parameter generation, and decouples expert capacity from adapter storage while enabling instance-conditioned adaptation.
Yiming Zeng, Lei Lu, Zexin Li et al.
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